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Fuel efficiency driver assistance system for manufacturer independent solutions

 
: Guan, Tianyi; Frey, Christian W.

:
Postprint urn:nbn:de:0011-n-2258207 (1.4 MByte PDF)
MD5 Fingerprint: c3bc1493dd1b1959646504811c1d1f28
© 2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Erstellt am: 30.1.2013


Institute of Electrical and Electronics Engineers -IEEE-; IEEE Intelligent Transportation Systems Society -ITSS-:
15th International IEEE Conference on Intelligent Transportation Systems, ITSC 2012 : 16 - 19 Sept. 2012, Anchorage, Alaska, USA
Piscataway/NJ: IEEE, 2012
ISBN: 978-1-4673-3063-3
ISBN: 978-1-4673-3064-0 (Print)
ISBN: 978-1-4673-3062-6 (Online)
S.212-217
International Conference on Intelligent Transportation Systems (ITSC) <15, 2012, Anchorage/Alas.>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOSB ()

Abstract
Energy efficiency has become a major issue in modern trade, business and environmental perception. While the next generation of zero emission propulsion systems are still under development, it is already possible to increase fuel efficiency in regular vehicles by applying a more fuel efficient driving behaviour. This particularly holds true for transport companies, where even small percentage savings can accumulate to huge absolute savings. Although there are common fuel efficiency guidelines, they are often imprecise and not adapted to a specific vehicle. Furthermore drivers may not even know the fuel efficiency rules or lack the motivation to apply them in practice. In this paper, an online driving assistance system is presented that assist drivers during their journeys by giving them fuel efficiency guidelines that are suited for the current situation and vehicle. The driver assistance system uses an internal manufacturer independent model that can adapt to the current vehicle solely based on online CAN-Bus data.

: http://publica.fraunhofer.de/dokumente/N-225820.html